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Automated Neural Graph Toolkit. high level machine learning toolkit built on top of Google's Tensorflow to facilitate rapid prototyping of Neural Network models which may consist of multiple models chained together.

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aarontuor/antk

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Welcome to Automated Neural Graph Toolkit

Aaron's web page Documentation pypi page

Purpose

Automated Neural Graph Toolkit is an extension library for Google's Tensorflow. It is designed to facilitate rapid prototyping of Neural Network models which may consist of multiple models chained together. Multiple input streams and and or multiple output predictions are well supported.

Documentation for ANTk

You will find complete documentation for ANTk at the ANTk readthedocs page.

Platform

ANTk is compatible with linux 64 bit operating systems.

Python Distribution

ANTk is written in python 2. Most functionality should be forwards compatible.

Install

A virtual environment is recommended for installation. Make sure that tensorflow is installed in your virtual environment and graphviz is installed on your system.

Install tensorflow

Install graphviz

From the terminal:

(venv)$ pip install antk

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Automated Neural Graph Toolkit. high level machine learning toolkit built on top of Google's Tensorflow to facilitate rapid prototyping of Neural Network models which may consist of multiple models chained together.

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